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Influence of fine particles on the l...

Zhu, Zhehao.

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Influence of fine particles on the liquefaction properties of a reference sand = application to the seismic response of a sand column on a vibrating table /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Influence of fine particles on the liquefaction properties of a reference sand/ by Zhehao Zhu.
Reminder of title:	application to the seismic response of a sand column on a vibrating table /
Author:	Zhu, Zhehao.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xxi, 192 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Bibliographic Review -- Tested Materials, Equipment and Protocols -- Behaviour Under Monotonic Loading -- Behaviour Under Cyclic Loading -- Shaking Table Tests.
Contained By:	Springer Nature eBook
Subject:	Soil liquefaction. -
Online resource:	https://doi.org/10.1007/978-3-031-24299-1
ISBN:	9783031242991

Influence of fine particles on the liquefaction properties of a reference sand = application to the seismic response of a sand column on a vibrating table /
Zhu, Zhehao.

Influence of fine particles on the liquefaction properties of a reference sandapplication to the seismic response of a sand column on a vibrating table /[electronic resource] :by Zhehao Zhu. - Cham :Springer Nature Switzerland :2023. - xxi, 192 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

Bibliographic Review -- Tested Materials, Equipment and Protocols -- Behaviour Under Monotonic Loading -- Behaviour Under Cyclic Loading -- Shaking Table Tests.

Over the past thirty years, the liquefaction of sand containing a small amount of fine particles has become an engaging topic in the geotechnical community. Indeed, a great variety of field investigations revealed that the real liquefied soils are mainly composed of a host sand matrix and a small fraction of plastic or non-plastic fines. In this context, several series of monotonic and cyclic triaxial tests were performed to clarify the influence of these fine particles on the development of sand liquefaction. To get closer to in situ conditions, 1g shaking table tests were carried out with two different-sized model soil containers. The first one, small size, was essentially used to check the reconstitution and the saturation method. The second one, very large size, was manufactured to explore the sand liquefaction behaviour during base shaking in an almost actual engineering size. To numerically reproduce the sand liquefaction behaviour, the Dafalias model has been taken as an example and its input parameters were calibrated by an artificial intelligence method. An in-depth analysis of the proposed method was done with the elastoplastic theory.

ISBN: 9783031242991

Standard No.: 10.1007/978-3-031-24299-1doiSubjects--Topical Terms:

2186606
Soil liquefaction.

LC Class. No.: TA710 / .Z48 2023

Dewey Class. No.: 631.433

Influence of fine particles on the liquefaction properties of a reference sand = application to the seismic response of a sand column on a vibrating table /
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520 $a Over the past thirty years, the liquefaction of sand containing a small amount of fine particles has become an engaging topic in the geotechnical community. Indeed, a great variety of field investigations revealed that the real liquefied soils are mainly composed of a host sand matrix and a small fraction of plastic or non-plastic fines. In this context, several series of monotonic and cyclic triaxial tests were performed to clarify the influence of these fine particles on the development of sand liquefaction. To get closer to in situ conditions, 1g shaking table tests were carried out with two different-sized model soil containers. The first one, small size, was essentially used to check the reconstitution and the saturation method. The second one, very large size, was manufactured to explore the sand liquefaction behaviour during base shaking in an almost actual engineering size. To numerically reproduce the sand liquefaction behaviour, the Dafalias model has been taken as an example and its input parameters were calibrated by an artificial intelligence method. An in-depth analysis of the proposed method was done with the elastoplastic theory.
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